Professional
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Join India's most hands-on Professional Certification in Data Science & AI Program, where you don't just learn theory but structure, launch, track, and scale real ad budgets across channels in 20 weeks.
Comprehensive Curriculum
From Python and Pandas manipulation, advanced statistics and clustering to neural networks, LLMs, and containerized model deployments.
Master data structures, vectorized operations, data slicing, and aggregations using NumPy and Pandas inside Jupyter environments.
NumPy Arrays
Pandas DataFrames
Data Operations
Project INGESTION | Build an Analytics Preprocessing Pipeline for E-commerce Datasets
Case StudyIndustry Implementations
How Airbnb leverages Python matrices to normalize property price data across thousands of city zones.
Discover hidden patterns. Perform feature correlations, outlier handling, and plot statistical visual charts using Seaborn and Matplotlib.
Correlation Analysis
Statistical Charts
Outlier Treatment
Validate business logic with math. Master probability, central limit theorem, p-values, and configure multi-variant A/B tests.
Probability
Hypothesis Testing
A/B Experiments
Build linear, logistic, and decision tree models. Implement preprocessing pipelines and evaluate classification boundaries using Scikit-Learn.
Linear Models
Classification
ML Pipelines
Tune ensemble classifiers. Optimize gradient boosted trees, XGBoost parameters, and audit classification matrices.
Boosted Trees
XGBoost & LightGBM
Audit Matrix
Simplify high dimensions. Compress feature matrices using PCA and cluster customer sets using K-Means and Hierarchical charts.
PCA Compression
K-Means Grouping
t-SNE Charts
Build and train multi-layer perceptrons. Optimize weights, gradients, loss parameters, and build classification models in PyTorch.
PyTorch Core
Deep Layers
Optimization
Program with text vectors. Build tokenizers, compute cosine similarity, configure attention layers, and structure custom RAG engines.
Embeddings
Transformers
RAG Engines
Deploy real models. Package python runtimes using Docker, set up FastAPI predictors, and track lifecycle runs.
FastAPI Engines
Docker containers
Lifecycle Runs
Project MICHELANGELO | Build, Containerize, and Deploy a Real-time Customer Churn Prediction Engine
Case StudyIndustry Implementations
How Uber Michelangelo platform automates deployment and tracking of active pricing algorithms globally.
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Program Highlights
20 Weeks Duration
Intense live lectures + practical ML engineering sprints.
12+ High-Impact Projects
Build production-grade machine learning pipelines, RAG engines, and APIs.
1:1 Mentorship Reviews
Direct reviews from senior ML and data engineers.
100% Placement Support
Mock interviews, resume profiling, & direct hiring access.
